kvfrans / clipdraw
Synthesize drawings to match a text prompt
Prediction
kvfrans/clipdraw:5793aa325d9e66f63b48a248291b7d552e03712bbf481224215d31aa906c609bID43runp6r7zax5mr2bntgbe6kiaStatusSucceededSourceWebHardware–Total duration–CreatedInput
- prompt
- self
- num_paths
- 300
- num_iterations
- 1000
- display_frequency
- "10"
{ "prompt": "self", "num_paths": 300, "num_iterations": 1000, "display_frequency": "10" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run kvfrans/clipdraw using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "kvfrans/clipdraw:5793aa325d9e66f63b48a248291b7d552e03712bbf481224215d31aa906c609b", { input: { prompt: "self", num_paths: 300, num_iterations: 1000, display_frequency: "10" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run kvfrans/clipdraw using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "kvfrans/clipdraw:5793aa325d9e66f63b48a248291b7d552e03712bbf481224215d31aa906c609b", input={ "prompt": "self", "num_paths": 300, "num_iterations": 1000, "display_frequency": "10" } ) # The kvfrans/clipdraw model can stream output as it's running. # The predict method returns an iterator, and you can iterate over that output. for item in output: # https://replicate.com/kvfrans/clipdraw/api#output-schema print(item)
To learn more, take a look at the guide on getting started with Python.
Run kvfrans/clipdraw using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "kvfrans/clipdraw:5793aa325d9e66f63b48a248291b7d552e03712bbf481224215d31aa906c609b", "input": { "prompt": "self", "num_paths": 300, "num_iterations": 1000, "display_frequency": "10" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2021-10-01T01:07:01.396246Z", "created_at": "2021-10-01T00:40:30.693784Z", "data_removed": false, "error": null, "id": "43runp6r7zax5mr2bntgbe6kia", "input": { "prompt": "self", "num_paths": 300, "num_iterations": 1000, "display_frequency": "10" }, "logs": "iteration: 0, render:loss: -0.7646484375\niteration: 10, render:loss: -1.0439453125\niteration: 20, render:loss: -1.166015625\niteration: 30, render:loss: -1.353515625\niteration: 40, render:loss: -1.37109375\niteration: 50, render:loss: -1.380859375\niteration: 60, render:loss: -1.392578125\niteration: 70, render:loss: -1.400390625\niteration: 80, render:loss: -1.4296875\niteration: 90, render:loss: -1.4404296875\niteration: 100, render:loss: -1.427734375\niteration: 110, render:loss: -1.423828125\niteration: 120, render:loss: -1.45703125\niteration: 130, render:loss: -1.46484375\niteration: 140, render:loss: -1.431640625\niteration: 150, render:loss: -1.4267578125\niteration: 160, render:loss: -1.376953125\niteration: 170, render:loss: -1.462890625\niteration: 180, render:loss: -1.474609375\niteration: 190, render:loss: -1.490234375\niteration: 200, render:loss: -1.37890625\niteration: 210, render:loss: -1.462890625\niteration: 220, render:loss: -1.4609375\niteration: 230, render:loss: -1.4873046875\niteration: 240, render:loss: -1.486328125\niteration: 250, render:loss: -1.4814453125\niteration: 260, render:loss: -1.4833984375\niteration: 270, render:loss: -1.4775390625\niteration: 280, render:loss: -1.439453125\niteration: 290, render:loss: -1.435546875\niteration: 300, render:loss: -1.4892578125\niteration: 310, render:loss: -1.46484375\niteration: 320, render:loss: -1.48828125\niteration: 330, render:loss: -1.4873046875\niteration: 340, render:loss: -1.501953125\niteration: 350, render:loss: -1.453125\niteration: 360, render:loss: -1.4892578125\niteration: 370, render:loss: -1.412109375\niteration: 380, render:loss: -1.4990234375\niteration: 390, render:loss: -1.46484375\niteration: 400, render:loss: -1.4892578125\niteration: 410, render:loss: -1.49609375\niteration: 420, render:loss: -1.4921875\niteration: 430, render:loss: -1.5107421875\niteration: 440, render:loss: -1.5\niteration: 450, render:loss: -1.4033203125\niteration: 460, render:loss: -1.484375\niteration: 470, render:loss: -1.4755859375\niteration: 480, render:loss: -1.498046875\niteration: 490, render:loss: -1.4326171875\niteration: 500, render:loss: -1.4736328125\niteration: 510, render:loss: -1.4912109375\niteration: 520, render:loss: -1.50390625\niteration: 530, render:loss: -1.5234375\niteration: 540, render:loss: -1.498046875\niteration: 550, render:loss: -1.5166015625\niteration: 560, render:loss: -1.52734375\niteration: 570, render:loss: -1.5380859375\niteration: 580, render:loss: -1.4599609375\niteration: 590, render:loss: -1.525390625\niteration: 600, render:loss: -1.548828125\niteration: 610, render:loss: -1.521484375\niteration: 620, render:loss: -1.525390625\niteration: 630, render:loss: -1.5224609375\niteration: 640, render:loss: -1.529296875\niteration: 650, render:loss: -1.5341796875\niteration: 660, render:loss: -1.5126953125\niteration: 670, render:loss: -1.546875\niteration: 680, render:loss: -1.541015625\niteration: 690, render:loss: -1.5361328125\niteration: 700, render:loss: -1.552734375\niteration: 710, render:loss: -1.55078125\niteration: 720, render:loss: -1.5546875\niteration: 730, render:loss: -1.5498046875\niteration: 740, render:loss: -1.544921875\niteration: 750, render:loss: -1.546875\niteration: 760, render:loss: -1.55078125\niteration: 770, render:loss: -1.548828125\niteration: 780, render:loss: -1.4814453125\niteration: 790, render:loss: -1.5556640625\niteration: 800, render:loss: -1.5556640625\niteration: 810, render:loss: -1.5712890625\niteration: 820, render:loss: -1.556640625\niteration: 830, render:loss: -1.5654296875\niteration: 840, render:loss: -1.578125\niteration: 850, render:loss: -1.5712890625\niteration: 860, render:loss: -1.568359375\niteration: 870, render:loss: -1.5712890625\niteration: 880, render:loss: -1.5693359375\niteration: 890, render:loss: -1.513671875\niteration: 900, render:loss: -1.58203125\niteration: 910, render:loss: -1.587890625\niteration: 920, render:loss: -1.5673828125\niteration: 930, render:loss: -1.5625\niteration: 940, render:loss: -1.56640625\niteration: 950, render:loss: -1.580078125\niteration: 960, render:loss: -1.55859375\niteration: 970, render:loss: -1.572265625\niteration: 980, render:loss: -1.572265625\niteration: 990, render:loss: -1.5615234375\niteration: 999, render:loss: -1.57421875", "metrics": {}, "output": [ { "file": "https://replicate.delivery/mgxm/2ea3723a-1c36-4b88-99f8-15f7dd2cbcbe/out.png" }, { "file": "https://replicate.delivery/mgxm/0c288f67-0855-47a4-88e0-9a0bb06da065/out.png" }, { "file": "https://replicate.delivery/mgxm/ec0d4352-88bc-48f1-b601-9567c6fef782/out.png" }, { "file": 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}, { "file": "https://replicate.delivery/mgxm/7b4b2b2c-ca0d-43f4-8e5e-520d8e25e623/out.png" }, { "file": "https://replicate.delivery/mgxm/50df33ca-2100-49fa-833f-6765af24eddc/out.png" } ], "started_at": null, "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/43runp6r7zax5mr2bntgbe6kia", "cancel": "https://api.replicate.com/v1/predictions/43runp6r7zax5mr2bntgbe6kia/cancel" }, "version": "5793aa325d9e66f63b48a248291b7d552e03712bbf481224215d31aa906c609b" }
iteration: 0, render:loss: -0.7646484375 iteration: 10, render:loss: -1.0439453125 iteration: 20, render:loss: -1.166015625 iteration: 30, render:loss: -1.353515625 iteration: 40, render:loss: -1.37109375 iteration: 50, render:loss: -1.380859375 iteration: 60, render:loss: -1.392578125 iteration: 70, render:loss: -1.400390625 iteration: 80, render:loss: -1.4296875 iteration: 90, render:loss: -1.4404296875 iteration: 100, render:loss: -1.427734375 iteration: 110, render:loss: -1.423828125 iteration: 120, render:loss: -1.45703125 iteration: 130, render:loss: -1.46484375 iteration: 140, render:loss: -1.431640625 iteration: 150, render:loss: -1.4267578125 iteration: 160, render:loss: -1.376953125 iteration: 170, render:loss: -1.462890625 iteration: 180, render:loss: -1.474609375 iteration: 190, render:loss: -1.490234375 iteration: 200, render:loss: -1.37890625 iteration: 210, render:loss: -1.462890625 iteration: 220, render:loss: -1.4609375 iteration: 230, render:loss: -1.4873046875 iteration: 240, render:loss: -1.486328125 iteration: 250, render:loss: -1.4814453125 iteration: 260, render:loss: -1.4833984375 iteration: 270, render:loss: -1.4775390625 iteration: 280, render:loss: -1.439453125 iteration: 290, render:loss: -1.435546875 iteration: 300, render:loss: -1.4892578125 iteration: 310, render:loss: -1.46484375 iteration: 320, render:loss: -1.48828125 iteration: 330, render:loss: -1.4873046875 iteration: 340, render:loss: -1.501953125 iteration: 350, render:loss: -1.453125 iteration: 360, render:loss: -1.4892578125 iteration: 370, render:loss: -1.412109375 iteration: 380, render:loss: -1.4990234375 iteration: 390, render:loss: -1.46484375 iteration: 400, render:loss: -1.4892578125 iteration: 410, render:loss: -1.49609375 iteration: 420, render:loss: -1.4921875 iteration: 430, render:loss: -1.5107421875 iteration: 440, render:loss: -1.5 iteration: 450, render:loss: -1.4033203125 iteration: 460, render:loss: -1.484375 iteration: 470, render:loss: -1.4755859375 iteration: 480, render:loss: -1.498046875 iteration: 490, render:loss: -1.4326171875 iteration: 500, render:loss: -1.4736328125 iteration: 510, render:loss: -1.4912109375 iteration: 520, render:loss: -1.50390625 iteration: 530, render:loss: -1.5234375 iteration: 540, render:loss: -1.498046875 iteration: 550, render:loss: -1.5166015625 iteration: 560, render:loss: -1.52734375 iteration: 570, render:loss: -1.5380859375 iteration: 580, render:loss: -1.4599609375 iteration: 590, render:loss: -1.525390625 iteration: 600, render:loss: -1.548828125 iteration: 610, render:loss: -1.521484375 iteration: 620, render:loss: -1.525390625 iteration: 630, render:loss: -1.5224609375 iteration: 640, render:loss: -1.529296875 iteration: 650, render:loss: -1.5341796875 iteration: 660, render:loss: -1.5126953125 iteration: 670, render:loss: -1.546875 iteration: 680, render:loss: -1.541015625 iteration: 690, render:loss: -1.5361328125 iteration: 700, render:loss: -1.552734375 iteration: 710, render:loss: -1.55078125 iteration: 720, render:loss: -1.5546875 iteration: 730, render:loss: -1.5498046875 iteration: 740, render:loss: -1.544921875 iteration: 750, render:loss: -1.546875 iteration: 760, render:loss: -1.55078125 iteration: 770, render:loss: -1.548828125 iteration: 780, render:loss: -1.4814453125 iteration: 790, render:loss: -1.5556640625 iteration: 800, render:loss: -1.5556640625 iteration: 810, render:loss: -1.5712890625 iteration: 820, render:loss: -1.556640625 iteration: 830, render:loss: -1.5654296875 iteration: 840, render:loss: -1.578125 iteration: 850, render:loss: -1.5712890625 iteration: 860, render:loss: -1.568359375 iteration: 870, render:loss: -1.5712890625 iteration: 880, render:loss: -1.5693359375 iteration: 890, render:loss: -1.513671875 iteration: 900, render:loss: -1.58203125 iteration: 910, render:loss: -1.587890625 iteration: 920, render:loss: -1.5673828125 iteration: 930, render:loss: -1.5625 iteration: 940, render:loss: -1.56640625 iteration: 950, render:loss: -1.580078125 iteration: 960, render:loss: -1.55859375 iteration: 970, render:loss: -1.572265625 iteration: 980, render:loss: -1.572265625 iteration: 990, render:loss: -1.5615234375 iteration: 999, render:loss: -1.57421875
Prediction
kvfrans/clipdraw:5793aa325d9e66f63b48a248291b7d552e03712bbf481224215d31aa906c609bInput
- prompt
- Watercolor painting of an underwater submarine
- num_paths
- 300
- num_iterations
- 600
- display_frequency
- "10"
{ "prompt": "Watercolor painting of an underwater submarine", "num_paths": 300, "num_iterations": 600, "display_frequency": "10" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run kvfrans/clipdraw using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "kvfrans/clipdraw:5793aa325d9e66f63b48a248291b7d552e03712bbf481224215d31aa906c609b", { input: { prompt: "Watercolor painting of an underwater submarine", num_paths: 300, num_iterations: 600, display_frequency: "10" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run kvfrans/clipdraw using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "kvfrans/clipdraw:5793aa325d9e66f63b48a248291b7d552e03712bbf481224215d31aa906c609b", input={ "prompt": "Watercolor painting of an underwater submarine", "num_paths": 300, "num_iterations": 600, "display_frequency": "10" } ) # The kvfrans/clipdraw model can stream output as it's running. # The predict method returns an iterator, and you can iterate over that output. for item in output: # https://replicate.com/kvfrans/clipdraw/api#output-schema print(item)
To learn more, take a look at the guide on getting started with Python.
Run kvfrans/clipdraw using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "kvfrans/clipdraw:5793aa325d9e66f63b48a248291b7d552e03712bbf481224215d31aa906c609b", "input": { "prompt": "Watercolor painting of an underwater submarine", "num_paths": 300, "num_iterations": 600, "display_frequency": "10" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2021-10-01T01:11:26.264537Z", "created_at": "2021-10-01T01:01:13.493566Z", "data_removed": false, "error": null, "id": "usdvqwoudja73m6vnlcgjy5mwq", "input": { "prompt": "Watercolor painting of an underwater submarine", "num_paths": 300, "num_iterations": 600, "display_frequency": "10" }, "logs": "iteration: 0, render:loss: -0.67529296875\niteration: 10, render:loss: -1.03125\niteration: 20, render:loss: -1.1787109375\niteration: 30, render:loss: -1.365234375\niteration: 40, render:loss: -1.529296875\niteration: 50, render:loss: -1.5712890625\niteration: 60, render:loss: -1.619140625\niteration: 70, render:loss: -1.662109375\niteration: 80, render:loss: -1.650390625\niteration: 90, render:loss: -1.7021484375\niteration: 100, render:loss: -1.7392578125\niteration: 110, render:loss: -1.7568359375\niteration: 120, render:loss: -1.794921875\niteration: 130, render:loss: -1.7451171875\niteration: 140, render:loss: -1.771484375\niteration: 150, render:loss: -1.7890625\niteration: 160, render:loss: -1.8291015625\niteration: 170, render:loss: -1.82421875\niteration: 180, render:loss: -1.798828125\niteration: 190, render:loss: -1.7822265625\niteration: 200, render:loss: -1.8056640625\niteration: 210, render:loss: -1.8291015625\niteration: 220, render:loss: -1.8095703125\niteration: 230, render:loss: -1.873046875\niteration: 240, render:loss: -1.814453125\niteration: 250, render:loss: -1.8828125\niteration: 260, render:loss: -1.814453125\niteration: 270, render:loss: -1.798828125\niteration: 280, render:loss: -1.8583984375\niteration: 290, render:loss: -1.9130859375\niteration: 300, render:loss: -1.845703125\niteration: 310, render:loss: -1.8701171875\niteration: 320, render:loss: -1.9306640625\niteration: 330, render:loss: -1.9609375\niteration: 340, render:loss: -1.8740234375\niteration: 350, render:loss: -1.7841796875\niteration: 360, render:loss: -1.9423828125\niteration: 370, render:loss: -1.8515625\niteration: 380, render:loss: -2.001953125\niteration: 390, render:loss: -2.001953125\niteration: 400, render:loss: -1.9482421875\niteration: 410, render:loss: -1.984375\niteration: 420, render:loss: -1.94921875\niteration: 430, render:loss: -2.037109375\niteration: 440, render:loss: -1.986328125\niteration: 450, render:loss: -1.9921875\niteration: 460, render:loss: -2.015625\niteration: 470, render:loss: -2.05078125\niteration: 480, render:loss: -2.078125\niteration: 490, render:loss: -2.041015625\niteration: 500, render:loss: -2.048828125\niteration: 510, render:loss: -2.09765625\niteration: 520, render:loss: -2.078125\niteration: 530, render:loss: -2.048828125\niteration: 540, render:loss: -2.083984375\niteration: 550, render:loss: -2.033203125\niteration: 560, render:loss: -2.140625\niteration: 570, render:loss: -2.08203125\niteration: 580, render:loss: -2.0234375\niteration: 590, render:loss: -2.126953125\niteration: 599, render:loss: -2.109375", "metrics": { "total_time": 612.770971 }, "output": [ { "file": "https://replicate.delivery/mgxm/5a259bd7-48c6-49f9-91ad-dde184a43450/out.png" }, { "file": "https://replicate.delivery/mgxm/dbd2ac08-1845-43a3-b138-9c529404c4ab/out.png" }, { "file": "https://replicate.delivery/mgxm/aade56d7-09e3-495e-9605-1e161ff42aeb/out.png" }, { "file": "https://replicate.delivery/mgxm/af305f1f-901e-43df-bad2-1a1943c41fc2/out.png" }, { "file": "https://replicate.delivery/mgxm/e4460b5b-4a85-4f79-a515-dada2cf4455c/out.png" }, { "file": "https://replicate.delivery/mgxm/555c4422-b871-42b5-bba7-1f42495c89b8/out.png" }, { "file": "https://replicate.delivery/mgxm/ecc29dfe-f51c-455c-8594-26413e0566d7/out.png" }, { "file": "https://replicate.delivery/mgxm/2e7bdd12-e1ad-44ad-bdb6-febce6644460/out.png" }, { "file": "https://replicate.delivery/mgxm/4dcaacd1-1ba1-4a51-ad6d-4218217d9754/out.png" }, { "file": "https://replicate.delivery/mgxm/38aae825-f008-4323-8b5e-c51a2783e7cf/out.png" }, { "file": "https://replicate.delivery/mgxm/79c94712-8a80-4e7a-a3f4-a03353d57277/out.png" }, { "file": "https://replicate.delivery/mgxm/674937a9-8d08-400e-a692-a57a3b94ac18/out.png" }, { "file": "https://replicate.delivery/mgxm/7ac4c7c3-62dc-4b10-af28-ca6bf87f92a4/out.png" }, { "file": "https://replicate.delivery/mgxm/3411409c-17d5-4055-b55d-7f228a63c1e4/out.png" }, { "file": "https://replicate.delivery/mgxm/ad6a7a78-051e-403e-ac6f-1827d04e3e07/out.png" }, { "file": "https://replicate.delivery/mgxm/da0c6135-f99a-48bd-a870-f53206b99596/out.png" }, { "file": "https://replicate.delivery/mgxm/08fbfae7-886f-4066-b8bf-2d45641529cd/out.png" }, { "file": "https://replicate.delivery/mgxm/83d746a1-301d-4329-9ed7-5f3cc30d75b6/out.png" }, { "file": "https://replicate.delivery/mgxm/eec58eb3-1f1d-4b46-9839-94e45d3ab4ed/out.png" }, { "file": "https://replicate.delivery/mgxm/f8f99b9e-6c54-4c65-865f-5011df50428d/out.png" }, { "file": "https://replicate.delivery/mgxm/ffbeae4f-8daa-49f5-bd9c-2a9ab6443570/out.png" }, { "file": "https://replicate.delivery/mgxm/fb0182f8-a352-41de-8500-c7913fa3ac9d/out.png" }, { "file": "https://replicate.delivery/mgxm/75e4c393-516b-4435-a492-40d743a3b25a/out.png" }, { "file": "https://replicate.delivery/mgxm/a5250c91-6f37-40a7-b941-979575f979d2/out.png" }, { "file": "https://replicate.delivery/mgxm/768f72ae-8995-4f50-9d80-20c4ebf11564/out.png" }, { "file": "https://replicate.delivery/mgxm/13309ebe-68d5-4e0f-8412-974abe1d8e64/out.png" }, { "file": "https://replicate.delivery/mgxm/5f855e35-f98b-452d-a160-385102d99028/out.png" }, { "file": "https://replicate.delivery/mgxm/3b7c20b4-8393-4a25-bb94-80567330b99b/out.png" }, { "file": "https://replicate.delivery/mgxm/905604e9-da38-45bf-9e96-8a4cb78d2895/out.png" }, { "file": "https://replicate.delivery/mgxm/37461e6b-af0b-4ec3-a088-05aa0bdfb366/out.png" }, { "file": "https://replicate.delivery/mgxm/178008f6-9935-4598-860b-f3590ae6adb2/out.png" }, { "file": "https://replicate.delivery/mgxm/9866c8c3-fb01-4472-8197-19d85f12a71c/out.png" }, { "file": "https://replicate.delivery/mgxm/9aeab08d-a6ab-4ab4-b301-bf823a2bb505/out.png" }, { "file": "https://replicate.delivery/mgxm/abfe7032-d283-449f-875b-7f2d1bd24e8d/out.png" }, { "file": "https://replicate.delivery/mgxm/6c782193-0ccc-4517-8b05-44c6aee70389/out.png" }, { "file": "https://replicate.delivery/mgxm/5971e4f2-15c5-4ef2-8ed8-545405f0a9c6/out.png" }, { "file": "https://replicate.delivery/mgxm/302c5f4f-f21b-41eb-9b54-db2127014c05/out.png" }, { "file": "https://replicate.delivery/mgxm/138cfb18-79f4-4cd1-a2b1-fc1b0e8cf0e4/out.png" }, { "file": "https://replicate.delivery/mgxm/3210ceeb-f1cd-4fb8-bcef-c28880e231d3/out.png" }, { "file": "https://replicate.delivery/mgxm/fbee3dc2-fbcc-4f70-9538-f310fa21eb43/out.png" }, { "file": "https://replicate.delivery/mgxm/07eca365-0974-471d-bf2b-6103d36a7604/out.png" }, { "file": "https://replicate.delivery/mgxm/478c9a54-be20-4a4d-bb91-30260d02384c/out.png" }, { "file": "https://replicate.delivery/mgxm/b3c9579f-ee31-4400-a8fa-277a90a0042e/out.png" }, { "file": "https://replicate.delivery/mgxm/8724fbc7-000d-48dd-a98e-24d895d15cf5/out.png" }, { "file": "https://replicate.delivery/mgxm/3e4fa091-1be1-44f8-ba43-d71b5779afed/out.png" }, { "file": "https://replicate.delivery/mgxm/8582b055-0d7c-4471-a7ab-cf549735ec77/out.png" }, { "file": "https://replicate.delivery/mgxm/5f79aa81-80cd-4808-a275-32a40d00910c/out.png" }, { "file": "https://replicate.delivery/mgxm/b083f334-c746-4ffc-9aac-87c90c767238/out.png" }, { "file": "https://replicate.delivery/mgxm/9c5eef0e-0cc6-4a41-804f-1aab896c4d50/out.png" }, { "file": "https://replicate.delivery/mgxm/9f6d234d-b7a0-4f53-9ec8-a3a38f8c3e0f/out.png" }, { "file": "https://replicate.delivery/mgxm/fa12caf3-95de-44f7-9b9c-68493c54136c/out.png" }, { "file": "https://replicate.delivery/mgxm/bdedc641-bfd2-453a-9a0a-3dcd66ffc766/out.png" }, { "file": "https://replicate.delivery/mgxm/1b16278d-8a50-43e0-a2d2-78ec6d1d6f64/out.png" }, { "file": "https://replicate.delivery/mgxm/2e2c0fc7-f803-4f70-a1ec-8be46f60edbd/out.png" }, { "file": "https://replicate.delivery/mgxm/4b98ef5d-00e1-4c72-8de1-01d351d762ba/out.png" }, { "file": "https://replicate.delivery/mgxm/c91423b5-7cc9-4d0c-b042-10bdf82c20eb/out.png" }, { "file": "https://replicate.delivery/mgxm/23f252ee-f0bf-4996-90ce-11d222a86a43/out.png" }, { "file": "https://replicate.delivery/mgxm/734430d1-9132-4919-ba7e-d8884b445edc/out.png" }, { "file": "https://replicate.delivery/mgxm/18d3d1b8-d55c-48df-96d4-027eb36ea50c/out.png" }, { "file": "https://replicate.delivery/mgxm/59a8c267-ebaa-45fb-b950-a4b773bba17b/out.png" }, { "file": "https://replicate.delivery/mgxm/11cfd2bb-fed8-47d2-bab5-06f5684d1d78/out.png" } ], "started_at": "2022-12-06T21:22:42.147428Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/usdvqwoudja73m6vnlcgjy5mwq", "cancel": "https://api.replicate.com/v1/predictions/usdvqwoudja73m6vnlcgjy5mwq/cancel" }, "version": "5793aa325d9e66f63b48a248291b7d552e03712bbf481224215d31aa906c609b" }
iteration: 0, render:loss: -0.67529296875 iteration: 10, render:loss: -1.03125 iteration: 20, render:loss: -1.1787109375 iteration: 30, render:loss: -1.365234375 iteration: 40, render:loss: -1.529296875 iteration: 50, render:loss: -1.5712890625 iteration: 60, render:loss: -1.619140625 iteration: 70, render:loss: -1.662109375 iteration: 80, render:loss: -1.650390625 iteration: 90, render:loss: -1.7021484375 iteration: 100, render:loss: -1.7392578125 iteration: 110, render:loss: -1.7568359375 iteration: 120, render:loss: -1.794921875 iteration: 130, render:loss: -1.7451171875 iteration: 140, render:loss: -1.771484375 iteration: 150, render:loss: -1.7890625 iteration: 160, render:loss: -1.8291015625 iteration: 170, render:loss: -1.82421875 iteration: 180, render:loss: -1.798828125 iteration: 190, render:loss: -1.7822265625 iteration: 200, render:loss: -1.8056640625 iteration: 210, render:loss: -1.8291015625 iteration: 220, render:loss: -1.8095703125 iteration: 230, render:loss: -1.873046875 iteration: 240, render:loss: -1.814453125 iteration: 250, render:loss: -1.8828125 iteration: 260, render:loss: -1.814453125 iteration: 270, render:loss: -1.798828125 iteration: 280, render:loss: -1.8583984375 iteration: 290, render:loss: -1.9130859375 iteration: 300, render:loss: -1.845703125 iteration: 310, render:loss: -1.8701171875 iteration: 320, render:loss: -1.9306640625 iteration: 330, render:loss: -1.9609375 iteration: 340, render:loss: -1.8740234375 iteration: 350, render:loss: -1.7841796875 iteration: 360, render:loss: -1.9423828125 iteration: 370, render:loss: -1.8515625 iteration: 380, render:loss: -2.001953125 iteration: 390, render:loss: -2.001953125 iteration: 400, render:loss: -1.9482421875 iteration: 410, render:loss: -1.984375 iteration: 420, render:loss: -1.94921875 iteration: 430, render:loss: -2.037109375 iteration: 440, render:loss: -1.986328125 iteration: 450, render:loss: -1.9921875 iteration: 460, render:loss: -2.015625 iteration: 470, render:loss: -2.05078125 iteration: 480, render:loss: -2.078125 iteration: 490, render:loss: -2.041015625 iteration: 500, render:loss: -2.048828125 iteration: 510, render:loss: -2.09765625 iteration: 520, render:loss: -2.078125 iteration: 530, render:loss: -2.048828125 iteration: 540, render:loss: -2.083984375 iteration: 550, render:loss: -2.033203125 iteration: 560, render:loss: -2.140625 iteration: 570, render:loss: -2.08203125 iteration: 580, render:loss: -2.0234375 iteration: 590, render:loss: -2.126953125 iteration: 599, render:loss: -2.109375
Prediction
kvfrans/clipdraw:1bbb18ae07d3ac65c2ae031ac759fd5354a84dcaf0fa7b838334bb048a2cafb8Input
- prompt
- a 3D rendering of a temple
- num_paths
- 256
- num_iterations
- 500
- display_frequency
- 20
{ "prompt": "a 3D rendering of a temple", "num_paths": 256, "num_iterations": 500, "display_frequency": 20 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run kvfrans/clipdraw using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "kvfrans/clipdraw:1bbb18ae07d3ac65c2ae031ac759fd5354a84dcaf0fa7b838334bb048a2cafb8", { input: { prompt: "a 3D rendering of a temple", num_paths: 256, num_iterations: 500, display_frequency: 20 } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run kvfrans/clipdraw using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "kvfrans/clipdraw:1bbb18ae07d3ac65c2ae031ac759fd5354a84dcaf0fa7b838334bb048a2cafb8", input={ "prompt": "a 3D rendering of a temple", "num_paths": 256, "num_iterations": 500, "display_frequency": 20 } ) # The kvfrans/clipdraw model can stream output as it's running. # The predict method returns an iterator, and you can iterate over that output. for item in output: # https://replicate.com/kvfrans/clipdraw/api#output-schema print(item)
To learn more, take a look at the guide on getting started with Python.
Run kvfrans/clipdraw using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "kvfrans/clipdraw:1bbb18ae07d3ac65c2ae031ac759fd5354a84dcaf0fa7b838334bb048a2cafb8", "input": { "prompt": "a 3D rendering of a temple", "num_paths": 256, "num_iterations": 500, "display_frequency": 20 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2021-10-13T21:40:08.192057Z", "created_at": "2021-10-13T21:34:30.421702Z", "data_removed": false, "error": null, "id": "ypn6hovmkzbthcpt6f4f5jxrqe", "input": { "prompt": "a 3D rendering of a temple", "num_paths": 256, "num_iterations": 500, "display_frequency": 20 }, "logs": "/root/.pyenv/versions/3.8.12/lib/python3.8/site-packages/torchvision/transforms/functional_tensor.py:876: UserWarning: Argument fill/fillcolor is not supported for Tensor input. Fill value is zero\n warnings.warn(\"Argument fill/fillcolor is not supported for Tensor input. Fill value is zero\")\niteration: 0, render:loss: -0.767578125\niteration: 20, render:loss: -1.2333984375\niteration: 40, render:loss: -1.380859375\niteration: 60, render:loss: -1.46875\niteration: 80, render:loss: -1.5146484375\niteration: 100, render:loss: -1.5537109375\niteration: 120, render:loss: -1.5546875\niteration: 140, render:loss: -1.541015625\niteration: 160, render:loss: -1.587890625\niteration: 180, render:loss: -1.5869140625\niteration: 200, render:loss: -1.640625\niteration: 220, render:loss: -1.5888671875\niteration: 240, render:loss: -1.63671875\niteration: 260, render:loss: -1.681640625\niteration: 280, render:loss: -1.646484375\niteration: 300, render:loss: -1.736328125\niteration: 320, render:loss: -1.6767578125\niteration: 340, render:loss: -1.708984375\niteration: 360, render:loss: -1.7412109375\niteration: 380, render:loss: -1.796875\niteration: 400, render:loss: -1.8154296875\niteration: 420, render:loss: -1.8125\niteration: 440, render:loss: -1.7978515625\niteration: 460, render:loss: -1.8515625\niteration: 480, render:loss: -1.80859375\niteration: 499, render:loss: -1.8671875", "metrics": { "total_time": 337.770355 }, "output": [ { "file": "https://replicate.delivery/mgxm/fa8ce451-566d-4491-b4df-f9505ab714e7/out.png" }, { "file": "https://replicate.delivery/mgxm/463c4a3b-310b-4efb-bd0b-f7a3aa4562fe/out.png" }, { "file": "https://replicate.delivery/mgxm/3a865840-74a6-4a27-b251-a75afd736552/out.png" }, { "file": "https://replicate.delivery/mgxm/47e7c5db-e4e5-4fc3-85b9-596788a0a2bf/out.png" }, { "file": "https://replicate.delivery/mgxm/d57c035e-cb9e-43af-be15-828d1c5627ed/out.png" }, { "file": "https://replicate.delivery/mgxm/84176b96-ea36-4a73-aea9-5e5fc3cf55e2/out.png" }, { "file": "https://replicate.delivery/mgxm/f53a007b-a70f-4f10-9ea7-c5d62015397e/out.png" }, { "file": "https://replicate.delivery/mgxm/4499f1ed-238f-493c-9fd7-5409fbe40287/out.png" }, { "file": "https://replicate.delivery/mgxm/2ff1e676-1ebf-4c8a-81da-9cc86a81be83/out.png" }, { "file": "https://replicate.delivery/mgxm/8f20c69c-8a08-48b7-91cf-a8ba9f0b9054/out.png" }, { "file": "https://replicate.delivery/mgxm/0da177c0-9b54-4667-a145-3aca9f9549cc/out.png" }, { "file": "https://replicate.delivery/mgxm/54ba8903-758f-41e3-9a5c-9862972eec05/out.png" }, { "file": "https://replicate.delivery/mgxm/64c07c44-2e61-4651-91e9-2ef9e7f198ca/out.png" }, { "file": "https://replicate.delivery/mgxm/5a98b89d-113f-433c-9791-d21affaec94d/out.png" }, { "file": "https://replicate.delivery/mgxm/91d1ec5e-a1cb-4ed8-a505-ed3adc58cf78/out.png" }, { "file": "https://replicate.delivery/mgxm/e7e8dcab-ba8b-4f9a-9a15-de38ac0cc12c/out.png" }, { "file": "https://replicate.delivery/mgxm/3a3ff7b0-be6e-4efb-83a5-bcf0a4a890c7/out.png" }, { "file": "https://replicate.delivery/mgxm/5dffdab7-1023-4d61-8422-006ac1ffeb30/out.png" }, { "file": "https://replicate.delivery/mgxm/6bdf5057-fa1d-466b-8757-4328e62e5eaf/out.png" }, { "file": "https://replicate.delivery/mgxm/df3f74ab-e8a1-4e00-b2de-40349cf476be/out.png" }, { "file": "https://replicate.delivery/mgxm/a876114c-3a21-49b8-9931-9e42bc234ac5/out.png" }, { "file": "https://replicate.delivery/mgxm/dae4a353-89a9-4344-aac1-72afec76c88f/out.png" }, { "file": "https://replicate.delivery/mgxm/5ab4dfdb-f6a1-400b-93a0-bfef454f1058/out.png" }, { "file": "https://replicate.delivery/mgxm/701146c9-7f99-4b64-a519-bdb54d2334ab/out.png" }, { "file": "https://replicate.delivery/mgxm/0986e041-7be2-4d63-9388-dd1cc6154961/out.png" } ], "started_at": "2021-12-01T09:05:06.207880Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ypn6hovmkzbthcpt6f4f5jxrqe", "cancel": "https://api.replicate.com/v1/predictions/ypn6hovmkzbthcpt6f4f5jxrqe/cancel" }, "version": "1bbb18ae07d3ac65c2ae031ac759fd5354a84dcaf0fa7b838334bb048a2cafb8" }
/root/.pyenv/versions/3.8.12/lib/python3.8/site-packages/torchvision/transforms/functional_tensor.py:876: UserWarning: Argument fill/fillcolor is not supported for Tensor input. Fill value is zero warnings.warn("Argument fill/fillcolor is not supported for Tensor input. Fill value is zero") iteration: 0, render:loss: -0.767578125 iteration: 20, render:loss: -1.2333984375 iteration: 40, render:loss: -1.380859375 iteration: 60, render:loss: -1.46875 iteration: 80, render:loss: -1.5146484375 iteration: 100, render:loss: -1.5537109375 iteration: 120, render:loss: -1.5546875 iteration: 140, render:loss: -1.541015625 iteration: 160, render:loss: -1.587890625 iteration: 180, render:loss: -1.5869140625 iteration: 200, render:loss: -1.640625 iteration: 220, render:loss: -1.5888671875 iteration: 240, render:loss: -1.63671875 iteration: 260, render:loss: -1.681640625 iteration: 280, render:loss: -1.646484375 iteration: 300, render:loss: -1.736328125 iteration: 320, render:loss: -1.6767578125 iteration: 340, render:loss: -1.708984375 iteration: 360, render:loss: -1.7412109375 iteration: 380, render:loss: -1.796875 iteration: 400, render:loss: -1.8154296875 iteration: 420, render:loss: -1.8125 iteration: 440, render:loss: -1.7978515625 iteration: 460, render:loss: -1.8515625 iteration: 480, render:loss: -1.80859375 iteration: 499, render:loss: -1.8671875
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